1. Financial services firms are undergoing digital transformation to improve customer engagement and increase revenue through new digital initiatives and technologies.
2. To succeed in the digital era, financial services firms need to modernize their data infrastructures to deliver optimal customer experiences, build digital trust, and improve operational efficiency.
3. Modernizing data infrastructure requires investing in technologies like cloud, analytics, security and adopting strategies like hybrid cloud to drive digital transformation initiatives around customer experience, risk management and cost reduction.
Data Architecture Strategies: Data Architecture for Digital TransformationDATAVERSITY
MDM, data quality, data architecture, and more. At the same time, combining these foundational data management approaches with other innovative techniques can help drive organizational change as well as technological transformation. This webinar will provide practical steps for creating a data foundation for effective digital transformation.
Data-driven Banking: Managing the Digital TransformationLindaWatson19
The digital revolution has arrived in banking. Evolving customer expectations, increasing cyber threats and growing volumes of data are just a few of the challenges faced by traditional financial institutions.
Top 7 Capabilities for Next-Gen Master Data ManagementDATAVERSITY
This session will discuss how the master data management platforms are evolving to meet needs of digital economy. A modern master data management platform incorporates graph technology, infuses insights from the data using advanced analytics and ML, and offer big data scale performance in the cloud. Join this webinar to learn about these and other critical capabilities that power connected customer experience, compliance, and business alignment.
70% of today's IT budget is spent on simply managing and maintaining the IT infrastructure, with only 30% funding strategic initiatives to fuel innovation. IT managers need to address today's operational challenges and find ways to leverage IT infrastructure to transform spending - putting more dollars to work to solve new problems.
Big Data Journeys: Review of roadmaps taken by early adopters to achieve thei...Krishnan Parasuraman
Implementing a Big Data program can be a long and arduous journey. Each organization has its own unique business drivers and technical considerations that drive their big data adoption roadmaps. Whatever be your organization's specific big data driver - be it managing a rapid surge of data, implementing a new set of analytic capabilities, incorporating unstructured data as part of your enterprise data platform or accessing real time information for actionable intelligence - the approach and roadmap that you put in place to reach that end goal becomes all the more critical in a space where early success stories are relatively rare, skill sets are hard to find and technologies are still evolving.
In this session we will chronicle the journeys of four different organizations that were early adopters of big data. Each of them charted a different path to achieve their big data goals. We will look at what were the key drivers behind their respective approaches, what worked and what did not work for them.
Data Architecture Strategies: Data Architecture for Digital TransformationDATAVERSITY
MDM, data quality, data architecture, and more. At the same time, combining these foundational data management approaches with other innovative techniques can help drive organizational change as well as technological transformation. This webinar will provide practical steps for creating a data foundation for effective digital transformation.
Data-driven Banking: Managing the Digital TransformationLindaWatson19
The digital revolution has arrived in banking. Evolving customer expectations, increasing cyber threats and growing volumes of data are just a few of the challenges faced by traditional financial institutions.
Top 7 Capabilities for Next-Gen Master Data ManagementDATAVERSITY
This session will discuss how the master data management platforms are evolving to meet needs of digital economy. A modern master data management platform incorporates graph technology, infuses insights from the data using advanced analytics and ML, and offer big data scale performance in the cloud. Join this webinar to learn about these and other critical capabilities that power connected customer experience, compliance, and business alignment.
70% of today's IT budget is spent on simply managing and maintaining the IT infrastructure, with only 30% funding strategic initiatives to fuel innovation. IT managers need to address today's operational challenges and find ways to leverage IT infrastructure to transform spending - putting more dollars to work to solve new problems.
Big Data Journeys: Review of roadmaps taken by early adopters to achieve thei...Krishnan Parasuraman
Implementing a Big Data program can be a long and arduous journey. Each organization has its own unique business drivers and technical considerations that drive their big data adoption roadmaps. Whatever be your organization's specific big data driver - be it managing a rapid surge of data, implementing a new set of analytic capabilities, incorporating unstructured data as part of your enterprise data platform or accessing real time information for actionable intelligence - the approach and roadmap that you put in place to reach that end goal becomes all the more critical in a space where early success stories are relatively rare, skill sets are hard to find and technologies are still evolving.
In this session we will chronicle the journeys of four different organizations that were early adopters of big data. Each of them charted a different path to achieve their big data goals. We will look at what were the key drivers behind their respective approaches, what worked and what did not work for them.
Financial Markets Data & Analytics Led TransformationGianpaolo Zampol
How big data, advanced analytics and cognitive computing is disrupting traditional business and operating models in financial markets? New competitors, powered by social, mobile, analytics, and cloud computing, are making new business models emerging rapidly. Wealth Management, Corporate Banking and Transaction Banking & Payments are significant sources of growth in Financial Markets. How take advantage from those new technologies to face this new scenario?
How Insurers Can Tame Data to Drive InnovationCognizant
To thrive among entrenched rivals and compete more effectively with digital natives, insurers will need to get their data right. That will mean moving to more responsive, AI-enabled architectures that accelerate data management and deliver insights that drive business performance.
ADV Slides: Data Curation for Artificial Intelligence StrategiesDATAVERSITY
This webinar will focus on the promise AI holds for organizations in every industry and every size, and how to overcome some of the challenge today of how to prepare for AI in the organization and how to plan AI applications.
The foundation for AI is data. You must have enough data to analyze and build models. Your data determines the depth of AI you can achieve — for example, statistical modeling, machine learning, or deep learning — and its accuracy. The increased availability of data is the single biggest contributor to the uptake in AI where it is thriving. Indeed, data’s highest use in the organization soon will be training algorithms. AI is providing a powerful foundation for impending competitive advantage and business disruption.
The New Enterprise Blueprint featuring the Gartner Magic QuadrantLindaWatson19
Read how Solix Big Data Suite manages the entire data lifecycle without sacrificing governance, compliance, or performance. This newsletter can help you start the enterprise Hadoop journey without having to choose between operational efficiency and BI.
Digital Transformation: How to Build an Analytics-Driven CultureAlexander Loth
http://alexloth.com/2017/12/11/diversify-long-term-crypto-portfolio/
<- Follow-up blog post "How to diversify a Long-term Crypto Portfolio"!
Executive Talk, Frankfurt School of Finance & Management, 8 December 2017
White Paper: The Business Case for IT Governance in the Age of Digital Transf...SDI Presence LLC
Why is strong #ITGovernance a strategic mandate in light of business’ use of evolving digital technologies throughout their organization?
SDI Presence assesses the management challenges of legacy and emerging IT throughout an organization and effective processes establishing for #ITGovernance framework in the first of our new “Building Smarter Organizations” white paper series: “The Business Case for an IT Governance in the Age of Digital Transformation”
Next Generation Customer Communications ManagementNuxeo
Each year, banks and insurers generate billions of customer communications with one simple goal: a more personalized experience for customers. And yet, they are being held back by legacy technologies that are expensive, outmoded, and cannot address new delivery channels or modern privacy and security regulations. Learn how to modernize your customer communications.
Reusing Kafka Data Structure Between Projects | Laura Schornack and Maureen P...HostedbyConfluent
Cut the time of application delivery by reusing Kafka data structure between projects! Expecting boundaries and data definitions to remain consistent between source and consuming projects can be a constant source of surprise - a Kafka spiderweb. Duplicate datasets with mutations often bring with them monetary, opportunity and reputation costs, as well as errors, inconsistencies, tech debt, reactive approach to data problems, audit issues, data ownership confusion and data that is not fit for purpose. Solving this requires moving towards uniform datasets. And this moves requires an Enterprise Domain Driven Design approach, combined with Event Storming. Doing this architecture work upfront allows for real-time, ubiquitous, distributed data implementations, as opposed to a Kafka spiderweb. This talk and demo will show the design, along with a demo illustrating this approach.
Understanding Content:Machine Learning & the Modern InsurerNuxeo
In today’s digital world, insurers are literally drowning in content. Accident photos, policy applications, statements, customer emails and SMS messages -- these are all content that underpins your business and your customer experience. Yet for most insurers, content remains a massive business challenge: difficult to find, hard to process, impossible to analyze, and oh so expensive.
Discover how AI and machine learning can be used to transform your content into a business advantage.
We'll share real examples of how other P&C and Health insurers are using these technologies to automate virtual claims, intelligently process policy applications, detect fraud, and even gain new insight into accident damage.
You will learn:
- How AI uniquely addresses your content challenges
- Why custom ML models deliver more value
- What “content lakes” are, and what value they add
- How to take your first steps with AI
Discovery: The Backbone of Digital Enterprise ManagementMichelle Kerby
Understanding what you have in your data center and how these assets interrelate is essential for making cloud decisions, understanding security vulnerabilities, and avoiding downtime.
Next Generation Data Center - IT TransformationDamian Hamilton
Computerworld CIO Event in Hong Kong sponsored by Dimension Data, EMC & Cisco.
Insights into Dimension Data's DC strategy and recent Client engagements
White Paper IDC | The Business Value of VCE Vblock Systems: Leveraging Conver...Melissa Luongo
The Business Value of VCE Vblock Systems: Leveraging Convergence to Drive Business Agility
In the past decade, information technology (IT) evolved from an enabler of back-office business processes to the very foundation of a modern business. In the increasingly digital and mobile world, the datacenter is often the first and most frequent point of contact with customers. The ability to innovate quickly lies at the heart of today’s changing business models. Businesses expect their IT investments to accelerate their pace of innovation, provide flexibility to meet new demands, and continually reduce the costs of operations.
Converged infrastructure is essential for many companies to ensure that their datacenter infrastructures can meet today’s challenges. The business rationale for deploying converged infrastructure goes far beyond traditional IT feeds and speeds. Customers using converged solutions like VCE’s Vblock Systems (Vblock) realize lower costs, greater levels of utilization, and reduced downtime. VCE customers in this study recognized business benefits such as improved organizational agility, faster application development, increased innovation, and improved employee productivity.
IDC interviewed 16 VCE Vblock Systems customers to understand and quantify the benefits delivered by their Vblock converged infrastructure deployments. Vblock Systems are built by VCE using compute, network, and storage technologies and virtualization software from Cisco, EMC, and VMware.
IDC found that by using Vblock Systems, these organizations recorded improved business outcomes and that these improvements are increasingly driving IT investment decisions.
All VCE customers interviewed for this study generated substantial business value by consolidating their IT infrastructures with Vblock. IDC calculates that these VCE customers will generate five-year discounted benefits worth an average of $384,202 per 100 users by using Vblock, which will result in an average return on investment (ROI) of 518% and a payback period of 7.5 months.
Financial Markets Data & Analytics Led TransformationGianpaolo Zampol
How big data, advanced analytics and cognitive computing is disrupting traditional business and operating models in financial markets? New competitors, powered by social, mobile, analytics, and cloud computing, are making new business models emerging rapidly. Wealth Management, Corporate Banking and Transaction Banking & Payments are significant sources of growth in Financial Markets. How take advantage from those new technologies to face this new scenario?
How Insurers Can Tame Data to Drive InnovationCognizant
To thrive among entrenched rivals and compete more effectively with digital natives, insurers will need to get their data right. That will mean moving to more responsive, AI-enabled architectures that accelerate data management and deliver insights that drive business performance.
ADV Slides: Data Curation for Artificial Intelligence StrategiesDATAVERSITY
This webinar will focus on the promise AI holds for organizations in every industry and every size, and how to overcome some of the challenge today of how to prepare for AI in the organization and how to plan AI applications.
The foundation for AI is data. You must have enough data to analyze and build models. Your data determines the depth of AI you can achieve — for example, statistical modeling, machine learning, or deep learning — and its accuracy. The increased availability of data is the single biggest contributor to the uptake in AI where it is thriving. Indeed, data’s highest use in the organization soon will be training algorithms. AI is providing a powerful foundation for impending competitive advantage and business disruption.
The New Enterprise Blueprint featuring the Gartner Magic QuadrantLindaWatson19
Read how Solix Big Data Suite manages the entire data lifecycle without sacrificing governance, compliance, or performance. This newsletter can help you start the enterprise Hadoop journey without having to choose between operational efficiency and BI.
Digital Transformation: How to Build an Analytics-Driven CultureAlexander Loth
http://alexloth.com/2017/12/11/diversify-long-term-crypto-portfolio/
<- Follow-up blog post "How to diversify a Long-term Crypto Portfolio"!
Executive Talk, Frankfurt School of Finance & Management, 8 December 2017
White Paper: The Business Case for IT Governance in the Age of Digital Transf...SDI Presence LLC
Why is strong #ITGovernance a strategic mandate in light of business’ use of evolving digital technologies throughout their organization?
SDI Presence assesses the management challenges of legacy and emerging IT throughout an organization and effective processes establishing for #ITGovernance framework in the first of our new “Building Smarter Organizations” white paper series: “The Business Case for an IT Governance in the Age of Digital Transformation”
Next Generation Customer Communications ManagementNuxeo
Each year, banks and insurers generate billions of customer communications with one simple goal: a more personalized experience for customers. And yet, they are being held back by legacy technologies that are expensive, outmoded, and cannot address new delivery channels or modern privacy and security regulations. Learn how to modernize your customer communications.
Reusing Kafka Data Structure Between Projects | Laura Schornack and Maureen P...HostedbyConfluent
Cut the time of application delivery by reusing Kafka data structure between projects! Expecting boundaries and data definitions to remain consistent between source and consuming projects can be a constant source of surprise - a Kafka spiderweb. Duplicate datasets with mutations often bring with them monetary, opportunity and reputation costs, as well as errors, inconsistencies, tech debt, reactive approach to data problems, audit issues, data ownership confusion and data that is not fit for purpose. Solving this requires moving towards uniform datasets. And this moves requires an Enterprise Domain Driven Design approach, combined with Event Storming. Doing this architecture work upfront allows for real-time, ubiquitous, distributed data implementations, as opposed to a Kafka spiderweb. This talk and demo will show the design, along with a demo illustrating this approach.
Understanding Content:Machine Learning & the Modern InsurerNuxeo
In today’s digital world, insurers are literally drowning in content. Accident photos, policy applications, statements, customer emails and SMS messages -- these are all content that underpins your business and your customer experience. Yet for most insurers, content remains a massive business challenge: difficult to find, hard to process, impossible to analyze, and oh so expensive.
Discover how AI and machine learning can be used to transform your content into a business advantage.
We'll share real examples of how other P&C and Health insurers are using these technologies to automate virtual claims, intelligently process policy applications, detect fraud, and even gain new insight into accident damage.
You will learn:
- How AI uniquely addresses your content challenges
- Why custom ML models deliver more value
- What “content lakes” are, and what value they add
- How to take your first steps with AI
Discovery: The Backbone of Digital Enterprise ManagementMichelle Kerby
Understanding what you have in your data center and how these assets interrelate is essential for making cloud decisions, understanding security vulnerabilities, and avoiding downtime.
Next Generation Data Center - IT TransformationDamian Hamilton
Computerworld CIO Event in Hong Kong sponsored by Dimension Data, EMC & Cisco.
Insights into Dimension Data's DC strategy and recent Client engagements
White Paper IDC | The Business Value of VCE Vblock Systems: Leveraging Conver...Melissa Luongo
The Business Value of VCE Vblock Systems: Leveraging Convergence to Drive Business Agility
In the past decade, information technology (IT) evolved from an enabler of back-office business processes to the very foundation of a modern business. In the increasingly digital and mobile world, the datacenter is often the first and most frequent point of contact with customers. The ability to innovate quickly lies at the heart of today’s changing business models. Businesses expect their IT investments to accelerate their pace of innovation, provide flexibility to meet new demands, and continually reduce the costs of operations.
Converged infrastructure is essential for many companies to ensure that their datacenter infrastructures can meet today’s challenges. The business rationale for deploying converged infrastructure goes far beyond traditional IT feeds and speeds. Customers using converged solutions like VCE’s Vblock Systems (Vblock) realize lower costs, greater levels of utilization, and reduced downtime. VCE customers in this study recognized business benefits such as improved organizational agility, faster application development, increased innovation, and improved employee productivity.
IDC interviewed 16 VCE Vblock Systems customers to understand and quantify the benefits delivered by their Vblock converged infrastructure deployments. Vblock Systems are built by VCE using compute, network, and storage technologies and virtualization software from Cisco, EMC, and VMware.
IDC found that by using Vblock Systems, these organizations recorded improved business outcomes and that these improvements are increasingly driving IT investment decisions.
All VCE customers interviewed for this study generated substantial business value by consolidating their IT infrastructures with Vblock. IDC calculates that these VCE customers will generate five-year discounted benefits worth an average of $384,202 per 100 users by using Vblock, which will result in an average return on investment (ROI) of 518% and a payback period of 7.5 months.
Data Virtualization, a Strategic IT Investment to Build Modern Enterprise Dat...Denodo
This content was presented during the Smart Data Summit Dubai 2015 in the UAE on May 25, 2015, by Jesus Barrasa, Senior Solutions Architect at Denodo Technologies.
In the era of Big Data, IoT, Cloud and Social Media, Information Architects are forced to rethink how to tackle data management and integration in the enterprise. Traditional approaches based on data replication and rigid information models lack the flexibility to deal with this new hybrid reality. New data sources and an increasing variety of consuming applications, like mobile apps and SaaS, add more complexity to the problem of delivering the right data, in the right format, and at the right time to the business. Data Virtualization emerges in this new scenario as the key enabler of agile, maintainable and future-proof data architectures.
How do you get CIOs to jump on the storage virtualization bandwagon if they’re not on it already? Use these five compelling points to persuade them that storage virtualization is right for their organization:
1. It’s Inevitable and Strategic.
2. Drives Productivity and Innovation.
3. Talk Return on Investment.
4. Deferring CapEx, Reducing OpEx.
5. Times are Changing and so is the CIO’s job.
Data Intelligence: come abilitare il valore aziendaleIDC Italy
IDC evidenzia che in media l’80% del tempo che un’azienda dedica ai dati viene speso in attività di gestione e soltanto il 20% in attività analitiche a valore. Grazie alla data intelligence, questa proporzione può essere invertita. Ecco la presentazione che Diego Pandolfi, Research & Consulting Manager di IDC Italia, ha portato all'IDC Data Intelligence Conference 2019 del 18 giugno a Milano
Rebooting IT Infrastructure for the Digital AgeCapgemini
The Digital Transformation Institute has launched its latest research report titled “Faster, Better, Smarter: Rebooting IT Infrastructure for the Digital Age.” The report highlights why organizations need robust and seamless IT infrastructure that keeps pace with evolving market and technology demands. IT infrastructure has always been known as a “keeping the lights on” function but now it has evolved into a core catalyst of Digital Transformation. However, as a function, IT infrastructure is yet to undergo a core transformation. The report discusses why a reboot is critical.
White paper : the top 10 trends in business intelligenceJean-Michel Franco
Highlights trends in Business Intelligence. though written in early 2010, it is still accurate. I would add Mobile BI and Collaborative Decision Management as complementary trends.
Data Analytics has become a powerful tool to drive corporates and businesses. check out this 6 Reasons to Use Data Analytics. Visit: https://www.raybiztech.com/blog/data-analytics/6-reasons-to-use-data-analytics
Similar to Modernizing Your Data Infrastructure (20)
Balázs Iván vállalati egészségbiztosítási szolgáltatásokBal R
Ha egy cég mind a 7 egészségbiztosítót össze szeretné hasonlítani, hogy azt válassza, ami a vállalatának a legjobb, akkor közel 130 oldal apróbetűs biztosítási feltételt kell elolvasnia a megalapozott döntéshez!
Van rá ideje? Én már megcsináltam és díjmentesen segítek Önnek!
balazs.ivan@ufsgroup.hu
+36 20 6696114
www.balazsivan.hu
Balázs Iván vállalati egészségbiztosítási szolgáltatásokBal R
Ha egy cég mind a 7 egészségbiztosítót össze szeretné hasonlítani, hogy azt válassza, ami a vállalatának a legjobb, akkor közel 130 oldal apróbetűs biztosítási feltételt kell elolvasnia a megalapozott döntéshez!
Van rá ideje? Én már megcsináltam és díjmentesen segítek Önnek!
balazs.ivan@ufsgroup.hu
+36 20 6696114
www.balazsivan.hu
Miért vegye igénybe egészségbiztosítási tanácsadásunk?Bal R
Ha Ön céges egészségbiztosítást keres, akár újat kötne vagy megversenyeztetné jelenlegi szolgáltatóját, nincs könnyű helyzetben. Ez a prezentáció bemutatja, mit kellene ilyenkor tennie és mi milyen terheket tudunk levenni az Ön válláról, ingyen.
balazs.ivan@ufsgroup.hu
+36 20 6696114
www.balazsivan.hu
MATHEMATICS BRIDGE COURSE (TEN DAYS PLANNER) (FOR CLASS XI STUDENTS GOING TO ...PinkySharma900491
Class khatm kaam kaam karne kk kabhi uske kk innings evening karni nnod ennu Tak add djdhejs a Nissan s isme sniff kaam GCC bagg GB g ghan HD smart karmathtaa Niven ken many bhej kaam karne Nissan kaam kaam Karo kaam lal mam cell pal xoxo
NO1 Uk Amil Baba In Lahore Kala Jadu In Lahore Best Amil In Lahore Amil In La...Amil baba
Contact with Dawood Bhai Just call on +92322-6382012 and we'll help you. We'll solve all your problems within 12 to 24 hours and with 101% guarantee and with astrology systematic. If you want to take any personal or professional advice then also you can call us on +92322-6382012 , ONLINE LOVE PROBLEM & Other all types of Daily Life Problem's.Then CALL or WHATSAPP us on +92322-6382012 and Get all these problems solutions here by Amil Baba DAWOOD BANGALI
#vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore#blackmagicformarriage #aamilbaba #kalajadu #kalailam #taweez #wazifaexpert #jadumantar #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore #blackmagicforlove #blackmagicformarriage #aamilbaba #kalajadu #kalailam #taweez #wazifaexpert #jadumantar #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore #Amilbabainuk #amilbabainspain #amilbabaindubai #Amilbabainnorway #amilbabainkrachi #amilbabainlahore #amilbabaingujranwalan #amilbabainislamabad
Drugs used in parkinsonism and other movement disorders.pptx
Modernizing Your Data Infrastructure
1. An IDC InfoBrief, Sponsored by IBM | October 2018
By Ritu Jyoti, Program Vice President, Systems Infrastructure Research Portfolio, and Jerry Silva, Research Director, Global Retail Banking
Modernizing Your Data Infrastructure:
Strategic Priorities for Financial Services
2. IDC Infobrief | Modernizing Your Data Infrastructure: Strategic Priorities for Financial Services
Sponsored by IBM | Page 2
Digital transformation (DX) enables enterprises to
seamlessly blend digital and physical business and
customer experiences while improving operational
efficiencies and organizational performance.
Ultimately, DX is about making the institution more
agile to respond to and create disruptions in the
industry. Fueled by 3rd Platform technologies (mobile,
social business, cloud, and big data and analytics),
DX is propelled by innovation accelerators like the
Internet of Things (IoT), cognitive/artificial intelligence
(AI) systems, next-generation security, 3D printing,
augmented and virtual reality, and robotics.
Executive Summary: Financial Services
is at an Inflection Point
By 2021, IDC predicts that at least 50% of global GDP will be digitized, with growth in every industry
driven by digitally enhanced offerings, operations, and relationships. Additionally, IDC estimates that
financial firms are dedicating 25%-30% of IT spend on DX initiatives in 2018.
3. IDC Infobrief | Modernizing Your Data Infrastructure: Strategic Priorities for Financial Services
Sponsored by IBM | Page 3
As DX strategies go from the drawing board to production, an unprecedented
wave of innovation will sweep over financial services, disrupting firms of
all sizes. IDC research shows that 18% of traditional revenues are at risk of
disruption in financial services. To thrive, financial services firms are embracing
digital as a top business objective and their priorities include:
Executive Summary (continued)
1. Improve customer engagement
2. Grow revenue/increase profitability/expand B2B partnerships
3. Compliance/risk mitigation management/improve security/avoid penalties
4. Increase operational efficiencies/reduce cost
5. Participate in digital marketplaces
4. IDC Infobrief | Modernizing Your Data Infrastructure: Strategic Priorities for Financial Services
Sponsored by IBM | Page 4
To create a sustainable competitive advantage in the digital
era, financial services firms need to modernize their data
infrastructure by focusing on three strategic priorities:
Digital Era Success Requires
Infrastructure Modernization
1. Delivering an optimal omni-experience to engage customers
2. Building and retaining digital trust
3. Driving operational efficiency and agility
5. IDC Infobrief | Modernizing Your Data Infrastructure: Strategic Priorities for Financial Services
Sponsored by IBM | Page 5
Enabling and embracing a 360-degree customer view
Strategic Priority: Omni-Experience
Customer Engagement
Data Infrastructure Requirements:
• Edge to core to cloud – seamless data pipeline and availability
• Data quality and profiling
• Data synchronization (internal and external data sources)
• Metadata management
• Data location optimization
• Acceleration and optimization of analytics/AI workloads
• Consistent and balanced performance
Corporate banks will invest
$2.2 billion in big data and
analytics in 2018 — 20% more
than in 2017.
Retail banks will additionally
invest $20 billion in big data
and analytics in 2018 – 14%
more than in 2017.
6. IDC Infobrief | Modernizing Your Data Infrastructure: Strategic Priorities for Financial Services
Sponsored by IBM | Page 6
In 2018, retail bank spending on next-
gen security-based authentication
methods will rise by 20%.
Spending on financial crimes and
information security technologies will be
$25 billion in 2018 and still growing
strongly at 6.5% globally.
Building and retaining customer trust
Strategic Priority: Digital Trust
and Stewardship
Data Infrastructure Requirements:
• Risk mitigation
• Data loss prevention
• Secure multi-tenancy
• Encryption, auditing, logging, and role-based
access and control
• Adherence to geo-industry regulations
• Consistent and granular backup, restore,
disaster recovery, and continuity across data
deployment locations
7. IDC Infobrief | Modernizing Your Data Infrastructure: Strategic Priorities for Financial Services
Sponsored by IBM | Page 7
53% of financial services firms surveyed
use hybrid cloud today.
Through 2021, NVMe-based systems
enabling real-time analytics/AI workloads
will replace SCSI as the protocol of
choice in enterprise-class flash arrays.
Enabling the ability to “right source” data and applications
Strategic Priority: Efficiency and Agility
Data Infrastructure Requirements:
• Leverage existing investment
• Modernize legacy infrastructures
• Integrate and optimize cloud adoption
• Adopt flash/NVMe
• Modernize IT infrastructure, DevOps,
containers, hyperconverged infrastructure
• Support business agility
8. IDC Infobrief | Modernizing Your Data Infrastructure: Strategic Priorities for Financial Services
Sponsored by IBM | Page 8
1. Modernize infrastructure. For each application’s underlying infrastructure, decide whether to let it run to the
end of its useful life, upgrade capacity/performance, or migrate to a new architecture. Older compute and
storage resources on maintenance can be used for smaller sites or DR. Accelerate performance in existing
infrastructure by adding flash for persistence or caching.
2. Define the infrastructure stack for new, custom applications. Work with application teams and line of
business to understand the range of applications in queue and how the stack can be optimized from a
software and hardware perspective. Understanding the application development environment and how teams
architect the applications will inform a scale-up or scale-out infrastructure strategy.
3. Develop an IaaS and PaaS strategy. Research and develop acceptable use of public cloud PaaS and
IaaS. Investigate use today and the need for internal, private cloud IaaS and PaaS environments. Leading IT
organizations are building out PaaS and IaaS environments to enable innovation environments for developers
and DX/CX initiatives.
Recommendations for Successful
Infrastructure Modernization
IDC offers the following guidance for organizations updating
their data infrastructure to support DX:
9. IDC Infobrief | Modernizing Your Data Infrastructure: Strategic Priorities for Financial Services
Financial services firms that embrace DX now will deliver better products and services faster than their
competitors. It all starts with the right storage solution and partner. The time, cost, and complexity of
developing a comprehensive storage strategy to modernize your data infrastructure may require a
consulting partner. With consulting partners, the resulting solution will be fully tailored to the financial
services firm needs and well-integrated with the data center.
Chosing the Right Storage Solution and Partner
Sponsored by IBM | Page 9
CONSIDERING IBM
10. IDC Infobrief | Modernizing Your Data Infrastructure: Strategic Priorities for Financial Services
In the DX era, project sponsorship and budget are managed by committee and consensus, aligned
with business objectives. The changing nature of today’s buying teams means IBM’s Infrastructure/
storage sales team must understand the perspective of the functional leaders (e.g., CMO, CISO, CFO)
and industry-specific personas. They need to preserve the existing relationships while branching out
to functional leaders.
Challenges and Opportunities
Sponsored by IBM | Page 10
In an ever-expanding universe of hybrid and multicloud
deployments, IBM offerings need to support seamless integration
with multiple public cloud services such as Amazon Web Services,
Google Cloud Platform, and Microsoft Azure along with IBM Cloud.
CONSIDERING IBM
11. IDC Infobrief | Modernizing Your Data Infrastructure: Strategic Priorities for Financial Services
Sponsored by IBM | Page 11
1. Industry IT Communications Survey, IDC Customer Insights and Analysis, April 2017
2. Analytics: The real-world use of big data in financial services, IBM Institute for Business Value, in collaboration with Saïd Business School at the University of Oxford, 2013
Among financial services companies, a chicken-and-egg situation appears to exist between analytics and data
infrastructure, with many analytics solutions deployed to overcome immediate challenges like improving customer
engagement through more targeted marketing campaigns.
However, a 2017 IDC survey1
found that banks ranked both big data (including infrastructure) and analytics as their
top priorities over all other initiatives including security and risk, the Internet of Things, and more efficient resource
allocation. The focus on data infrastructure is a long-term strategy that will strengthen the ability of banks to
respond to changing market conditions and customer demands.
The Benefits of a Modernized
Data Infrastructure
CONSIDERING IBM
For example, Singapore-based OCBC bank has leveraged benefits from an enterprise data infrastructure
strategy, along with a robust omni-experience environment, to precisely target customers with more suitable
products and services. The bank recognized a return on its investment in 18 months, experienced a 45%
improvement in conversion rates, and increased its cross-sales by 60%.2
12. IDC Infobrief | Modernizing Your Data Infrastructure: Strategic Priorities for Financial Services
IBM Solutions Map to Business Priorities
Sponsored by IBM | Page 12
IBM storage solutions can help financial services firms modernize their IT
infrastructure for the digital economy, based on their three business priorities:
Achieving Omni-
Experience Customer
Engagement
• IBM FlashSystem 900, IBM
Flash V9000, Storwize
V5030F, IBM Storwize
V7000F, IBM DS8880F, IBM
FlashSystem A9000, IBM
FlashSystem A9000R, IBM
FlashSystem 9100
• IBM Spectrum Virtualize
• IBM Elastic Storage Server
(ESS), IBM Cloud Object
Storage, IBM Spectrum
Computing
Building Digital Trust
and Stewardship
• IBM Spectrum Protect
• IBM Spectrum Protect Plus
• IBM FlashSystem A9000,
IBM FlashSystem A9000R
• IBM DS8000, IBM Cloud
Object Storage, IBM
Spectrum Virtualize
Driving Efficiency
and Agility
• IBM Spectrum Virtualize
• IBM FlashSystem 900,
IBM FlashSystem 9100
• IBM Cloud Object
Storage
CONSIDERING IBM
13. IDC Infobrief | Modernizing Your Data Infrastructure: Strategic Priorities for Financial Services
Sponsored by IBM | Page 13
IDC Analyst Profiles
Ritu Jyoti
Program Vice President, Systems Infrastructure Research Portfolio
Ritu Jyoti is program vice president for IDC’s Cloud IaaS, Enterprise Storage and Server team, which includes research offerings and
quarterly trackers as well as advisory services and consulting programs. Ms. Jyoti is responsible for managing the systems infrastructure
research portfolio spanning topics such as cloud computing, software-defined infrastructure, cloud data management and protection,
infrastructure for artificial intelligence, acceleration and automation, big data analytics workloads infrastructure needs, and digital
transformation-IT transformation infrastructure strategies.
Jerry Silva
Research Director, Global Retail Banking
Jerry Silva is research director for IDC Financial Insights responsible for the global retail banking practice. Mr. Silva’s research focuses
on technology trends and customer expectations and behaviors in retail banking worldwide. Mr. Silva draws upon over 25 years of
experience in the financial services industry to cover a variety of topics, from the back office, to customer channels, to governance in
the technology shops at financial institutions.
IDC Corporate USA
5 Speen Street
Framingham, MA
01701, USA
T 508.872.8200
F 508.935.4015
Twitter @IDC
idc-insights-community.com
www.idc.com
This publication was produced by IDC Custom Solutions. The opinion, analysis, and research results presented herein are drawn from more detailed research
and analysis independently conducted and published by IDC, unless specific vendor sponsorship is noted. IDC Custom Solutions makes IDC content available in a
wide range of formats for distribution by various companies. A license to distribute IDC content does not imply endorsement of or opinion about the licensee.
External Publication of IDC Information and Data — Any IDC information that is to be used in advertising, press releases, or promotional materials requires prior
written approval from the appropriate IDC Vice President or Country Manager. A draft of the proposed document should accompany any such request. IDC
reserves the right to deny approval of external usage for any reason.
Copyright 2018 IDC. Reproduction without written permission is completely forbidden.
14. IDC Infobrief | Modernizing Your Data Infrastructure: Strategic Priorities for Financial Services
Sponsored by IBM | Page 14
The data presented in this InfoBrief comes from several of IDC’s global, web-based surveys, including:
US43259717: IDC FutureScape: Worldwide Financial Services 2018 Predictions
US43171317: IDC FutureScape: Worldwide IT Industry 2018 Predictions
US43275117: IDC FutureScape: Worldwide Enterprise Infrastructure 2018 Predictions
US44159818: IDC’s Worldwide Data Services for Hybrid Cloud Forecast, 2018–2022
Methodology
15. IDC Infobrief | Modernizing Your Data Infrastructure: Strategic Priorities for Financial Services
Sponsored by IBM | Page 15
MESSAGE FROM THE SPONSOR
To learn more about IBM’s solutions, visit www.ibm.com/storage